Python-Scripts-Repo-on-Data-Science

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Python-Scripts-Repo-on-Data-Science

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Data Science, Visualisations, and Machine Learning Cookbook

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# Python Scripts Repo on Data Science

Data Science stuff I have learnt and still refer to over the years.

Script titles are descriptive in keeping with the verbose nature of the python language (a Xteristic that I absolutely love)

A few important caveats on using this Repo:

All scripts were written on either Linux/Windows OSs.., using Anaconda IDE, gedit and sometimes recently, Geany. Most of these are written in
Python3. (Some are in Python27 - Linux gedit in this case) and I will endeavour to specify these differences.
They have all been written for my specific environments as above and for the Data Science domain.
I welcome feedback on how they work for people and if they find them useful.
The Anaconda IDE gives quite a lot of support for debugging and I endeavour to do as much as I can.

As far as using these scripts, you will need to know how to make them work for your specific use case - ASSUMING that you know what you are doing-
And if you really want to understand the underlying methods -the courses on datacamp, udemy, and many other great content platforms - Coursera! are as good as any other out there. - Perhaos that's a stretch. The point is, they are everywhere.

IN classes I teach, I can surely try to explain a concept based on my understanding and possibly some implementation.

Note that, the data sets are not available here. Use your own data. You will however find datasets online if you google them - there's quite a few out there - Nothing beats a bit of legwork.  Beware of those pesky rabbitholes though - It is very easy to get lost when you are having fun.. Debugging...

These scripts have proven useful in their adaptability for other projects I am working on but for posterity, this page has been created.

You may find some functions or pieces of these code(s) elsewhere on the web. my commercial programming
experience is still ongoing and just like everyone else, I tend to look up how to do a specific function and sometimes borrow that. Yes, devs live in the stackoverflow-verse - some google-fu helps also.

Please do not quote me if your implementation doesn't work. #justsaying

But do quote me if it does :)

Having said all that, we all know that once in a while, you find something that’s written extremely well (such as on StackOverflow or other blogs), and rightly so - there's no use reinventing the wheel.

My hope is that this repo can help make your building/dev work a lot easier.
 
 See what you think.

I’ll attempt to credit anything of the sorts as I post them, and apologies if anyone is missed - If you see such, please let me know and I will rectify asap

Happy Hacking..

Python-Scripts-Repo-on-Data-Science

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